Evidence map›Paper›PMID 42310024›Full record

ArticleNature communications2026

Strong yet highly conductive liquid metal composite film constructed via friction induced in-situ synthesis.

Jian-Xun Zhao, Aisheng Song, Xin Tang, Jiangkun Luo, Wen-Fa Lai, Cheng-Jun Huang, Hai-Jun Wu, Niyun Zhou, Xin Li, Tian-Bao Ma

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jian-Xun ZhaoState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0000-7102-0015
Aisheng SongState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China. songas@mail.tsinghua.edu.cn.
Xin TangState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China.
Jiangkun LuoState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China.
Wen-Fa LaiEngineering Center for Superlubricity, Jihua Laboratory, Foshan, China.
Cheng-Jun HuangState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China.
Hai-Jun WuState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China.
Niyun ZhouBeijing Frontier Research Center for Biological Structures, School of Life Sciences, Tsinghua University, Beijing, China.
Xin LiSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, China. lixin02@bit.edu.cn.ORCID http://orcid.org/0000-0002-4743-5509
Tian-Bao MaState Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing, China. mtb@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-8016-9241

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52225502National Natural Science Foundation of China (National Science Foundation of China) 52363033National Natural Science Foundation of China (National Science Foundation of China) U25A20298
6 · The paper itself

Abstract

Contact resistance is a crucial bottleneck for various applications. Liquid metal and its composites can reduce contact resistance of interfaces due to their high conductivity and deformability, yet their mechanical strength is insufficient under external forces. Here, we prepare a deformable liquid-metal-bridged nanogranular composite via friction induced in-situ synthesis, realizing low contact resistance alongside high current density of 1.5 GA/m

Identifiers

PMID42310024
PMCPMC13434124

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.